SymGrid: A framework for symbolic computation on the grid

Kevin Hammond, Abdallah Al Zain, Gene Cooperman, Dana Petcu, Phil Trinder

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

This paper introduces the design of SymGrid, a new Grid framework that will, for the first time, allow multiple invocations of symbolic computing applications to interact via the Grid. SymGrid is designed to support the specific needs of symbolic computation, including computational steering (greater interactivity), complex data structures, and domain-specific computational patterns (for irregular parallelism). A key issue is heterogeneity: SymGrid is designed to orchestrate components from different symbolic systems into a single coherent (possibly parallel) Grid application, building on the OpenMath standard for data exchange between mathematically- oriented applications. The work is being developed as part of a major EU infrastructure project. © Springer-Verlag Berlin Heidelberg 2007.

Original languageEnglish
Title of host publicationEuro-Par 2007 Parallel Processing - 13th International Euro-Par Conference, Proceedings
Pages457-466
Number of pages10
Volume4641 LNCS
Publication statusPublished - 2007
Event13th International Euro-Par Conference on Parallel Processing - Rennes, France
Duration: 28 Aug 200731 Aug 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4641 LNCS
ISSN (Print)0302-9743

Conference

Conference13th International Euro-Par Conference on Parallel Processing
Abbreviated titleEuro-Par 2007
CountryFrance
CityRennes
Period28/08/0731/08/07

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  • Cite this

    Hammond, K., Al Zain, A., Cooperman, G., Petcu, D., & Trinder, P. (2007). SymGrid: A framework for symbolic computation on the grid. In Euro-Par 2007 Parallel Processing - 13th International Euro-Par Conference, Proceedings (Vol. 4641 LNCS, pp. 457-466). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4641 LNCS).